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ORCID15th KDD 2009: Paris, France - Workshop on Statistical and Relational Learning in Bioinformatics
- Christophe Costa Florêncio, Fabrizio Costa, Jan Ramon, Joost N. Kok:
Proceedings of the ACM SIGKDD Workshop on Statistical and Relational Learning in Bioinformatics, Paris, France, June 28, 2009. ACM 2009, ISBN 978-1-60558-667-0 - Jorge M. Arevalillo
, Hilario Navarro:
Using random forests to uncover bivariate interactions in high dimensional small data sets. 3-6 - Tammy M. K. Cheng, Yu-En Lu, Pietro Liò:
Identification of structurally important amino acids in proteins by graph-theoretic measures. 7-11 - Wilhelmiina Hämäläinen:
Lift-based search for significant dependencies in dense data sets. 12-16 - Vlado Keselj, Haibin Liu, Norbert Zeh, Christian Blouin, Chris Whidden:
Finding optimal parameters for edit distance based sequence classification is NP-hard. 17-21 - Huma Lodhi, Stephen H. Muggleton, Michael J. E. Sternberg:
Multi-class protein fold recognition using large margin logic based divide and conquer learning. 22-26 - Uros Midic, A. Keith Dunker, Zoran Obradovic:
Protein sequence alignment and structural disorder: a substitution matrix for an extended alphabet. 27-31 - Jan Ramon, Fabrizio Costa:
Handling missing values and censored data in PCA of pharmacological matrices. 32-34 - Rabie Saidi, Mondher Maddouri, Engelbert Mephu Nguifo:
Comparing graph-based representations of protein for mining purposes. 35-38 - Hugh P. Shanahan:
Can we improve on the identification of transcription factor binding sites? 39-40
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